Skip to main content
    Technical comparison

    Verifier Engine vs typical competitor approaches

    Below — how LEGAION's Verifier Engine compares to two dominant approaches: generic legal AI (typical LLM-only platforms) and research-platform AI (curated US/UK research databases).

    Most legal-AI generates plausible fiction. Our engine will not release a citation it could not verify against 112 structured sources — before the answer reaches the lawyer. A comparison across 8 dimensions critical to law-firm work.

    Mosiężna lupa na otwartej księdze — Verifier Engine
    ★ Verifier
    LEGAION

    Każdy cytat weryfikowany do źródła pierwotnego przed odpowiedzią.

    Warstwy dokumentów na lnianym biurku — generyczne legal AI
    Generic legal-AI
    Generic legal-AI

    Typical LLM output without a deterministic verification layer — citations remain unchecked at delivery.

    Laptop z dokumentem prawnym — platformy research AI
    Research-platform AI
    Research-platform AI

    Curated databases optimised for US/UK research, with soft warnings rather than a hard publication gate.

    Scroll horizontally to see all columns
    Dimension
    LEGAION★ Verifier
    Generic legal-AI
    Category benchmark
    Research-platform AI
    Category benchmark
    Built-in Verifier Engine
    Every citation cross-checked against the primary source (ISAP, EUR-Lex, USPTO) before it reaches the user.
    Built-in · 335 cycles / day
    None — raw LLM output
    External plug-in · manual setup
    Structured sources
    112 sources indexed with metadata (jurisdiction, parent act, date, citation key) — not scrape-and-pray.
    112 sources · 46 jurisdictions
    Web scraping without context
    Curated DBs limited to US/UK
    Time-Travel Corpus
    Query the state of the law on any historical date (SHA-256 hashed snapshots).
    24 snapshots · `get_corpus_at_date`
    Current state only
    None — manual versioning
    Legal determinism
    Hallucination block: no source = no answer. Confidence calibration + OOD detection.
    Hard-fail without citation
    Generates plausible fiction
    Soft warning · still hallucinates
    Atomic clauses
    Each clause = a self-contained unit with metadata, not a monolithic DOCX template.
    20 clauses · LEGAION Gate
    Static Word templates
    Clause library without metadata
    Zero-Retention E2EE
    AES-256-GCM, data encrypted in the browser, no query logs after the audit session.
    Trusted Devices · zero retention
    Training on client data
    TLS in transit · plain at rest
    Multi-jurisdiction native
    PL, EU, US, UK, CA (+3), AU (+6), SG, MENA, APAC — in a single workspace, one Gate.
    46 jurisdictions · 11 subdivisions
    Single-jurisdiction · US-only
    US + UK + AU (separate SKUs)
    Audit trail with hash
    Every AI decision carries a SHA-256 chain: prompt → source → result → corpus version at the given date.
    Forensic-grade · admissible
    No audit
    Conversation log without hash chain
    Pełne wsparcie produkcyjne
    Częściowe / wymaga konfiguracji
    Brak / nie obsługiwane
    Stan: produkcja · 8 wymiarów krytycznych
    Konsekwencja praktyczna

    Prawnik dostaje pismo, w którym każdy cytat ma kliknięcie do źródła pierwotnego z datą obowiązywania i hashem korpusu. Bez Verifier Engine ten sam prawnik spędza 40–90 minut na ręcznej kontroli każdej generacji — albo, gorzej, jej nie robi.

    Dalsza lektura · LEGAION vs Generic legal AI (Harvey, Spellbook)

    Porównujesz LEGAION z Generic legal AI (Harvey, Spellbook)? Pełny ranking zestawia 8 platform AI dla prawników w 12 kategoriach — od cytowań po jurysdykcję. Best AI Tools for Lawyers in 2026 — verified comparison →

    Dalsza lektura · LEGAION vs Research-platform AI (CoCounsel, Lexis+ AI)

    Porównujesz LEGAION z Research-platform AI (CoCounsel, Lexis+ AI)? Pełny ranking zestawia 8 platform AI dla prawników w 12 kategoriach — od cytowań po jurysdykcję. Best AI Tools for Lawyers in 2026 — verified comparison →